9 papers
Fair Allocation of Divisible Goods under Non-Linear Valuations
Haris Aziz, Zixu He, Xinhang Lu +1
We study the problem of dividing homogeneous divisible goods among agents with non-linear valuations. Specifically, the value that an agent gains from a given good depends only on…
Measuring Epistemic Humility in Multimodal Large Language Models
Bingkui Tong, Jiaer Xia, Sifeng Shang +1
Hallucinations in multimodal large language models (MLLMs) -- where the model generates content inconsistent with the input image -- pose significant risks in real-world applicatio…
Streaming Video Instruction Tuning
Jiaer Xia, Peixian Chen, Mengdan Zhang +2
We present Streamo, a real-time streaming video LLM that serves as a general-purpose interactive assistant. Unlike existing online video models that focus narrowly on question answ…
Learning to Think Fast and Slow for Visual Language Models
Chenyu Lin, Cheng Chi, Jinlin Wu +2
When faced with complex problems, we tend to engage in slower, more deliberate thinking. In contrast, for simple questions we give quick, intuitive responses. This dual-system thin…
Fine-tuning Quantized Neural Networks with Zeroth-order Optimization
Sifeng Shang, Jiayi Zhou, Chenyu Lin +2
As the size of large language models grows exponentially, GPU memory has become a bottleneck for adapting these models to downstream tasks. In this paper, we aim to push the limits…
Visionary-R1: Mitigating Shortcuts in Visual Reasoning with Reinforcement Learning
Jiaer Xia, Yuhang Zang, Peng Gao +2
Learning general-purpose reasoning capabilities has long been a challenging problem in AI. Recent research in large language models (LLMs), such as DeepSeek-R1, has shown that rein…